Assistant Manager - Business Intelligence
Location: Bangkok, Bangkok, Thailand
Department: Commercial
Workplace: on_site
Employment Type: full
Description
MakroPRO is building Thailand’s next-gen commerce engine — blending offline retail, express delivery, and digital marketplace into one powerful omni-retail platform.
We’re hiring an Assistant Manager - Business Intelligence to join our growing team.
Responsibilities:
Core Business Intelligence
- Create self-serve dashboards for Commercial, Marketing, Product, and Ops teams using Power BI and monitor real-time business health and proactively alert teams on performance anomalies or trend shifts.
- Implement effective platform, marketing and campaign-level ROI frameworks to measure promotion and pricing efficiency.
Advanced Analytics & Data Thinking
- Define segmentations, LTV models, buyer cohorts, and marketplace health indicators.
- Conduct funnel analysis across app journey — from acquisition to repeat behavior and basket expansion.
- Initiate & lead data science project and collaborate with data science teams to model forecasting, pricing elasticity, churn signals, etc.
Cross-Functional Strategy
- Partner with category heads, marketing leads, and Ops and Product owners to translate business needs into analytics action plans.
- Work with Product and Tech on instrumentation, tagging, event tracking, and feature experiments.
- Coach and mentor junior analysts on structured problem solving, data storytelling, and tooling best practices.
Business Outcomes
- Improve campaign ROI, customer reactivation rates, and platform conversion through actionable insights.
- Reduce data turnaround time and increase adoption of BI tools across stakeholder teams.
- Push MakroPRO toward a data-first culture with proactive insight generation and operational integration.
Requirements
- 3–5 years of experience in BI, analytics, or data strategy — at least 3 in e-commerce, Consulting, or omni-retail
- Strong SQL, Python and dashboarding (Power BI)
- Experience designing campaign tracking, funnel metrics, marketing attribution, and customer journey analytics
- Strong commercial sense — ability to think like a category lead, not just an analyst
- Comfortable with ambiguity, owning workstreams, managing stakeholders, tight deadlines, and high-stakes decision-making
- Bonus: Knowledge Data Science, ML models, or AI tools (even better if you've piloted them in a business context)
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